Bibliographic record
Abstract
Bacterial vaginosis, urinary tract infection, and yeast vaginitis afflict an estimated 1 billion women each year. Once investigation has ruled out complicated underlying causes, the only therapeutic option is antimicrobial agents. In many cases, this is effective at clearing infection. However, recurrences, side effects, and secondary infections are frequent. Coinciding with infection is a disruption of the normal commensal microflora in the vagina, primarily a loss of lactobacilli. The exogenous application of lactobacilli to the host as probiotic agents appears to offer hope as an alternative management regimen to antimicrobial treatment and prophylaxis. Although commercial probiotics specifically selected and proven to be effective for urogenital infections are not yet available, there is growing in vitro and human data to suggest that certain strains could confer health benefits on a large number of women. Given that depleted vaginal lactobacilli and recurrent infection is associated with increased risk of sexually transmitted diseases and preterm labor, multiple antibiotic resistance, and significant reduction in quality of life, the need for probiotic therapeutics has never been greater.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".